Towards secure and resilient unmanned aerial vehicles swarm network based on blockchain by Xin Zhou, Lin Yang, Linru MA, Huasen He

“…Additionally, routing learning based on node security attributes and link quality ensures secure and efficient data transmission. …”
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Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation by Shan Zhu

“…According to the features of nodes in ontology tree, methods to calculate the external features and internal features of nodes are proposed, respectively. …”
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Distributed computations for large-scale networked systems using belief propagation by Qianqian Cai, Zhaorong Zhang, Minyue Fu

“…This paper introduces several related distributed algorithms, generalised from the celebrated belief propagation algorithm for statistical learning. These algorithms are suitable for a class of computational problems in large-scale networked systems, ranging from average consensus, sensor fusion, distributed estimation, distributed optimisation, distributed control, and distributed learning. …”
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Modeling the violation of reward maximization and invariance in reinforcement schedules. by Giancarlo La Camera, Barry J Richmond

“…Within this framework, Reinforcement Learning can approach contextual learning with the mixture of empirical findings and principled assumptions that seem to coexist in the best descriptions of animal behavior. …”
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I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data by Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

“…While mobile eye-tracking systems combining egocentric video and gaze signals can offer valuable insights, manual analysis of these recordings is time-intensive. In this work, we present a novel human-centered learning algorithm designed for automated object recognition within mobile eye-tracking settings. …”
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Book Review: Nanwani, S. and Loxley, W. Social Structure Adaptation to COVID-19: Impact on Humanity. Routledge. by Jayakumar Chinnasamy

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“Q-Feed”—An Effective Solution for the Free-Riding Problem in Unstructured P2P Networks by Sabu M. Thampi, Chandra Sekaran K

“…This paper presents a solution for reducing the ill effects of free-riders in decentralised unstructured P2P networks. …”
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Three-Dimensional Mobility Management of Unmanned Aerial Vehicles in Flying Ad-Hoc Networks by Sophia Mary Anthony, T. S. Pradeep Kumar

“…In this research, the proposed technique specifically addresses the challenges related to mobility management, rapid mobility, and communication issues arising from high mobility in nodes within FANETs. We present a novel approach where flying nodes are modelled using semi-Markov decision problems (SMDPs) based on state transitions and actions which are then solved using the Reinforcement Learning (RL) approach for reliable and effective communication in FANETs. …”
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Controllability robustness of complex networks by Guanrong Chen

“…This article presents an overview on the state-of-the-art development in complex network controllability and its robustness against malicious attacks and random failures. …”
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Localization algorithm for large-scale wireless sensor networks based on FCMTSR-support vector machine by Fang Zhu, Junfang Wei

“…Sensor node localization is one of research hotspots in the applications of wireless sensor network field. …”
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Appreciating my core values to more fully appreciate others: My livingeducational-theory as a peace education researcher-practitioner by Joakim Arnøy

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Construction and Application Analysis of an Intelligent Distribution Network Identification System Based on Deep Neural Networks by Yu Ma

“… INTRODUCTION: At present, the communication between measuring data and network topology in the distribution system cannot be accurately established. …”
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Crime Busting Model Based on Dynamic Ranking Algorithms by Yang Cao, Xiaotian Xu, Zhijing Ye

“…Our method can also greatly increase the accuracy of solution with the enhancement of semantic learning filtering at the same time. Moreover, another dynamic algorithm of node contraction is also presented to help identify the leader among conspirators. …”
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Empire and the megamachine: comparing two controversies over social media content by Stephanie Hill

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Smart agriculture resource allocation and energy optimization using bidirectional long short-term memory with ant colony optimization (Bi-LSTM–ACO) by M. Rathi, C. Gomathy

“…Nevertheless, increased node density, constrained energy supplies, and unstable environmental circumstances present barriers to resource allocation and communication efficiency.MethodsTo address these limitations, a hybrid system combining deep learning and metaheuristic optimization was developed, integrating Bidirectional Long Short-Term Memory (Bi-LSTM) with Ant Colony Optimization (ACO). …”
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Semantic ECG hash similarity graph by Yixian Fang, Shilin Zhang, Yuwei Ren

“…Additionally, the adjacency matrix is highly susceptible to noise interference, leading to unreliable node connections. In this paper, we present a novel graph generation learning framework that incorporates semantic hash coding to capture the intricate associations both within and between ECG signals, thereby significantly enhancing the retrieval efficiency of subsequent graph-based deep learning models. …”
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Research on Resource Reservation Strategy for Edge Federation by Hengzhou Ye, Huangran Li, Jiaming Li, Qiu Lu, Gong Chen

“…It proposes a load prediction-based resource reservation strategy and optimizes this strategy according to the load levels present in the edge federation. Subsequently, we introduce a multi-agent deep deterministic policy gradient (RRP-MADDPG) approach based on a multi-agent deep reinforcement learning algorithm aimed at reducing average task delay. …”
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Efficient optimisation of physical reservoir computers using only a delayed input by Enrico Picco, Lina Jaurigue, Kathy Lüdge, Serge Massar

“…Abstract Reservoir computing is a machine learning algorithm for processing time dependent data which is well suited for experimental implementation. …”
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An Unmanned Delivery Vehicle Path-Planning Method Based on Point-Graph Joint Embedding and Dual Decoders by Jiale Cheng, Zhiwei Ni, Wentao Liu, Qian Chen, Rui Yan

“…In addition, the model is trained offline using a deep reinforcement-learning strategy in combination with pseudo-label learning. …”
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Distributed Abnormal Activity Detection in Smart Environments by Chengliang Wang, Qian Zheng, Yayun Peng, Debraj De, Wen-Zhan Song

“…Firstly, DetectingAct finds the normal activity patterns through duration-dependent frequent pattern mining algorithm (DFPMA), which adopts unsupervised learning instead of supervised learning. Secondly, the distributed knowledge storage mechanism (DKSM) is introduced to store the mined patterns in each node. …”
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